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Field
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software engineers to develop, validate, and use new efficient and flexible model architectures involving Earth system models and fast-running model emulators; and be expected to work closely with the MIT
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, attention mechanisms, and transformer architectures applied to chemical data. Knowledge of computer-aided synthesis planning (CASP) tools and retrosynthetic analysis software (e.g., AiZynthFinder, ASKCOS, IBM
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software engineers to develop, validate, and use new efficient and flexible model architectures involving Earth system models and fast-running model emulators; and be expected to work closely with the MIT
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architecture to support data trust in the context of AI-enabled sience workflows. Experience and developing and deploying software is desired. We are extending and maintaining the National Data Platform
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and system architecture to support data trust in the context of AI-enabled sience workflows. Experience and developing and deploying software is desired. We are extending and maintaining the National
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. Knowledge of the ISO/SAE 21434 standard for automotive cybersecurity engineering. Experience with the AUTOSAR standard and associated automotive software architectures. Demonstrated experience in
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Agency for Innovation and Defence), French academic research laboratories (CEA LETI, ICMCB, IETR, Telecom Paris and XLIM) are joining forces to propose innovative architectures for reconfigurable devices
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working on the LHCb experiment at the Large Hadron Collider. The successful candidate will focus on developing LHCb’s real-time data analysis systems, including the GPU-based software trigger. This work
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: Minimum Required Qualifications PhD in Statistics, Engineering, or related discipline with experience developing or using image processing and segmentation software and AI models. Experience coding in
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) to detect and analyse tissue architecture components and subtle disease related changes. The postdoctoral researchers will work closely with software engineers and data platform developers to translate